Human resource management has always been the most important part of any organization (corporate and government-owned). Until whenever improvement in human resource management is always the background of every problem that occurs in the organization. This study aims to examine the relationship of procedural justice and organizational commitment to OCB satisfaction and job satisfaction in the Public Works Office of Kutai Kartanegara Regency. Sampling involved the entire population, i.e. 109 informants. They are employees who have goods and services certificates. Hypothesis test carried out with the SEM-PLS model in two stages (outer model and inner model). After that, the survey data was used SMART PLS 3.0. Based on empirical findings, we find that procedural justice has a positive and significant effect on OCB, while organizational commitment does not. Procedural justice, organizational commitment, and OCB have had a positive and significant effect on job satisfaction. The novelty of the study lies in the originality value that describes the conditions in a government agency with different benchmarks (variables and indicators) from previous studies, so it is very interesting and varied.

Value creation constitutes the essential purpose of a business relationship. However, limited research examines the role of relationship value in interfirm relationships in general and in international business settings in particular. This study develops a conceptual model that positions psychic distance, relational norms, and relationship learning as antecedents of relationship value, and relationship quality and performance as its key outcomes in international channel relationships. The study uses partial least squares-structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to test the model relationships. Comparing the findings of these two approaches provides an interesting basis for discussion on the importance and applicability of PLS-SEM and fsQCA. Furthermore, the results provide an important addition to the relationship value literature and an interesting discussion on the asymmetric versus symmetric relationships among the observations.

Purpose - This study provides appropriate procedures for EFA to help researchers conduct empirical studies by using PLS-SEM. Research design, data, and methodology - This study addresses the absolute and relative sample size criteria, sampling adequacy, factor extraction models, factor rotation methods, the criterion for the number of factors to retain, interpretation of results, and reporting information. Results - The factor analysis procedure for PLS-SEM consists of the following five stages. First, it is important to look at whether both the Bartlett test of sphericity and the KMO MSA meet the qualitative criteria. Second, PAF is a better choice of methodology. Third, an oblique technique is a suitable method for PLS-SEM. Fourth, a combined approach is strongly recommended to factor retention. PA should be used at the onset. Next, it is recommended using the K1 criterion. In addition, it is necessary to extract factors that increase the total variance explanatory power through the PVA-FS. Finally, it is appropriate to select an item with a factor loading into 0.5 or higher and a communality of 0.5. Conclusions - It is expected that the accurate factor analysis processed for PLS-SEM as previously presented will help us extract more precise factors of the structural model.